Intelligent decision support framework for assessment of alternative vehicle technologies in transportation system: A sustainable approach toward environmental remedy
The transportation system has the most considerable negative impacts on the environment due to greenhouse gas (GHG) emissions, so various governments seek to reduce GHG emissions by using the best alternative vehicle technologies in the transportation system. This paper presents a framework for sele...
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| Language: | English |
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Elsevier
2025-06-01
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| Series: | Sustainable Futures |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666188825000425 |
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| author | Ibrahim Alrashdi Ahmed M. Ali Karam M. Sallam Mohamed Abdel-Basset |
| author_facet | Ibrahim Alrashdi Ahmed M. Ali Karam M. Sallam Mohamed Abdel-Basset |
| author_sort | Ibrahim Alrashdi |
| collection | DOAJ |
| description | The transportation system has the most considerable negative impacts on the environment due to greenhouse gas (GHG) emissions, so various governments seek to reduce GHG emissions by using the best alternative vehicle technologies in the transportation system. This paper presents a framework for selecting the best alternative vehicle technology in Egypt to reduce the emission of GHG toward sustainability. Multi-criteria decision-making (MCDM) is used to deal with various conflicting criteria. This paper uses two MCDM methods: stepwise weight assessment ratio analysis (SWARA) and root assessment method (RAM). This study extends the SWARA and RAM methods under single-valued neutrosophic sets (SVNSs). The SVN-SWARA method is used to compute the criteria weights, and the SVN-RAM method is used to rank the alternatives. This study used seven main criteria, 40 sub-criteria, and 12 alternative vehicle technologies. The results in weights of criteria show that social criterion has the highest importance, and the market criterion has the lowest importance. The results in the rank of alternatives show the Electric vehicles (alternative) are the best choice for GHG emission reduction and for achieving sustainability in the transportation system in Egypt. The sensitivity and comparative analysis showed that the rank of alternatives is stable under different scenarios and that the proposed methodology is effective. |
| format | Article |
| id | doaj-art-b21ba9ccea2d43b888e21099107df57a |
| institution | Kabale University |
| issn | 2666-1888 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Sustainable Futures |
| spelling | doaj-art-b21ba9ccea2d43b888e21099107df57a2025-02-12T05:32:50ZengElsevierSustainable Futures2666-18882025-06-019100472Intelligent decision support framework for assessment of alternative vehicle technologies in transportation system: A sustainable approach toward environmental remedyIbrahim Alrashdi0Ahmed M. Ali1Karam M. Sallam2Mohamed Abdel-Basset3Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, 2014, Saudi Arabia; Corresponding author.Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharqiyah, 44519, EgyptDepartment of Computer Science, University of Sharjah, Sharjah, United Arab EmiratesFaculty of Computers and Informatics, Zagazig University, Zagazig, Sharqiyah, 44519, EgyptThe transportation system has the most considerable negative impacts on the environment due to greenhouse gas (GHG) emissions, so various governments seek to reduce GHG emissions by using the best alternative vehicle technologies in the transportation system. This paper presents a framework for selecting the best alternative vehicle technology in Egypt to reduce the emission of GHG toward sustainability. Multi-criteria decision-making (MCDM) is used to deal with various conflicting criteria. This paper uses two MCDM methods: stepwise weight assessment ratio analysis (SWARA) and root assessment method (RAM). This study extends the SWARA and RAM methods under single-valued neutrosophic sets (SVNSs). The SVN-SWARA method is used to compute the criteria weights, and the SVN-RAM method is used to rank the alternatives. This study used seven main criteria, 40 sub-criteria, and 12 alternative vehicle technologies. The results in weights of criteria show that social criterion has the highest importance, and the market criterion has the lowest importance. The results in the rank of alternatives show the Electric vehicles (alternative) are the best choice for GHG emission reduction and for achieving sustainability in the transportation system in Egypt. The sensitivity and comparative analysis showed that the rank of alternatives is stable under different scenarios and that the proposed methodology is effective.http://www.sciencedirect.com/science/article/pii/S2666188825000425Vehicle technologiesSustainabilityTransportation systemsElectric vehiclesGas vehiclesHydrogen vehicles |
| spellingShingle | Ibrahim Alrashdi Ahmed M. Ali Karam M. Sallam Mohamed Abdel-Basset Intelligent decision support framework for assessment of alternative vehicle technologies in transportation system: A sustainable approach toward environmental remedy Sustainable Futures Vehicle technologies Sustainability Transportation systems Electric vehicles Gas vehicles Hydrogen vehicles |
| title | Intelligent decision support framework for assessment of alternative vehicle technologies in transportation system: A sustainable approach toward environmental remedy |
| title_full | Intelligent decision support framework for assessment of alternative vehicle technologies in transportation system: A sustainable approach toward environmental remedy |
| title_fullStr | Intelligent decision support framework for assessment of alternative vehicle technologies in transportation system: A sustainable approach toward environmental remedy |
| title_full_unstemmed | Intelligent decision support framework for assessment of alternative vehicle technologies in transportation system: A sustainable approach toward environmental remedy |
| title_short | Intelligent decision support framework for assessment of alternative vehicle technologies in transportation system: A sustainable approach toward environmental remedy |
| title_sort | intelligent decision support framework for assessment of alternative vehicle technologies in transportation system a sustainable approach toward environmental remedy |
| topic | Vehicle technologies Sustainability Transportation systems Electric vehicles Gas vehicles Hydrogen vehicles |
| url | http://www.sciencedirect.com/science/article/pii/S2666188825000425 |
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